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Criterion
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
HighHighLowLow
Timedifferent
2-4 h1-4 Wochen45-90 min1-2 h
Participantsdifferent
3-86-30 Experten2-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsExpert Forecast, Consensus Range, Assumption NotesAnsoff Matrix, Growth Options, Risk NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
ForecastingExpertsDecisionStrategy
GrowthStrategyMarketPortfolio
StrategyDecisionAssumptionsHypothesis
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